Accurate 3D point cloud segmentation to train your AI models
Playment's new release of 3D point cloud Segmentation toolkit enables you to generate high-quality training data to build 3D perception models.
About 3D semantic segmentation by Playment on Product Hunt
“Accurate 3D point cloud segmentation to train your AI models”
3D semantic segmentation by Playment launched on Product Hunt on June 14th, 2019 and earned 72 upvotes and 1 comments, placing #10 on the daily leaderboard. Playment's new release of 3D point cloud Segmentation toolkit enables you to generate high-quality training data to build 3D perception models.
On the analytics side, 3D semantic segmentation by Playment competes within API, Artificial Intelligence and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how 3D semantic segmentation by Playment performed against the three products that launched closest to it on the same day.
Who hunted 3D semantic segmentation by Playment?
3D semantic segmentation by Playment was hunted by Kevin William David. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of 3D semantic segmentation by Playment including community comment highlights and product details, visit the product overview.
Kevin William David